Research Assistant

UCL Eastman Dental Institute; London; Hybrid; GBP 23,000 - 25,000; Part time

Job summary

A leading research institute in London seeks part-time Research Assistant and Research Fellow. You will work on high-dimensional neurology projects, requiring an honours degree in a relevant field and machine learning experience. Knowledge of complex modelling and programming in Python is essential. The roles offer hybrid working with a focus on collaborative research impacting healthcare.

Benefits

41 days holiday

Defined benefit pension scheme

On-site gym

Cycle to work scheme

Qualifications

• Honours degree in a relevant field or equivalent industrial experience.
• General machine learning experience is mandatory.
• Knowledge of complex modelling in neuroscience or neuroimaging is essential.

Responsibilities

• Support high-quality research within the framework of the project.
• Work collaboratively with the research team on real-world applications.
• Assist in complex modelling of clinical and brain imaging data.

Skills

Machine learning experience

Higher-level programming languages (e.g. Python)

Interest in research

Knowledge of complex modelling

Education

Honours degree in mathematics, engineering, or computer science

PhD in relevant area (considered for Research Fellow)

Tools

Neuroimaging software

Statistical analysis software

Job description

The Programme for High-Dimensional Neurology aims to create a comprehensive, large-scale, multi-site, hospital-embedded framework for complex modelling of rich clinical and brain imaging data. It will deliver a suite of real-world applications across stroke, neuroradiology, and acute cognitive dysfunction.

You will join a team of outstanding researchers passionate about innovation with rapid, real-world impact, achievable within the lifetime of the project. This role offers superb training opportunities for those seeking an academic career in translational research or aiming to move into industry through spin-outs or established enterprises.

The Research Assistant position is offered part-time at hours per week (Full Time Equivalent), and the Research Fellow position is also part-time at hours per week (Full Time Equivalent). Both roles are eligible for hybrid working, with a minimum of 50% on-site presence, and will require travel across different UK locations.

The post is available from 07 July and is funded by the National Brain Appeal until 31 August initially.

If you need reasonable adjustments, accessible application formats, or have queries about the application process, please contact the Institute of Neurology HR Team ().

For informal enquiries about the role, contact Dr. Harpreet Hyare ().

A full job description and person specification are available below.

About you

You will have an Honours degree in mathematics, engineering, computer science, or equivalent industrial experience. Essential qualities include general machine learning experience, an interest in research, and a commitment to supporting high-quality research. Knowledge of complex modelling within neuroscience, neuroimaging, or healthcare, along with proficiency in higher-level programming languages such as Python, is required.

Knowledge of software development cycles and practices, experience translating science and engineering into real-world solutions, and familiarity with neuroimaging and statistical analysis software are desirable. Candidates with a PhD in a relevant area will also be considered.

What we offer

The starting salary for a Research Assistant is on UCL Grade 6B, ranging from £23,20 to £24, [60% of £38, - £41] per annum, including London Allowance.

Candidates with a PhD may be appointed as a Research Fellow at UCL Grade 7, with a salary range of £22, - £25, [50% of £44, - £51], per annum, including London Allowance.

Additional benefits include:

• 41 days holiday (27 days annual leave, 8 bank holidays, 6 closure days)
• Additional 5 days’ annual leave purchase scheme
• Defined benefit career average revalued earnings pension scheme (CARE)
• Cycle to work scheme and season ticket loan
• On-site gym
• Enhanced maternity, paternity, and adoption pay
• Employee assistance programme: Staff Support Service